Exploring DWT–SVD–DCT feature parameters for robust multiple watermarking against JPEG and JPEG2000 compression. (January 2015)

• Record Type: Journal Article
• Authors: Hu, Hwai-Tsu; Hsu, Ling-Yuan
• Is Part Of: Computers & electrical engineering. Volume 41(2015)
• Page Start: 52
• Page End: 63
• Publication Date: 2015-01
• Subjects: Blind image watermarking -- Discrete wavelet transform -- Singular value decomposition -- Discrete cosine transform; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2014.08.001
• Languages: English
• ISSNs: 0045-7906

Abstract

Graphical abstract: Highlights: A blind image watermarking scheme exploiting the DWT–SVD–DCT features is presented. The proposed PQIM reaches a trade-off between robustness and imperceptibility. Multiple watermarks can be embedded into a host image. The watermarks exhibit exceptional robustness against JPEG and JPEG2000 compression. Abstract: This paper presents a novel scheme to implement blind image watermarking based on the feature parameters extracted from a composite domain including the discrete wavelet transform (DWT), singular value decomposition (SVD), and discrete cosine transform (DCT). Multiple bits can be embedded into a single image block by adjusting designated parameters via a progressive quantization index modulation technique. The quantization with respect to the feature parameters obtained in the DWT–SVD–DCT domain leads to efficient watermark extraction without referring to the original image. Experimental results show that the embedded watermarks exhibit exceptional robustness against image compression using JPEG and JPEG2000 coding standards.